Travel-related Importation and Exportation Risks of SARS-CoV-2 Omicron Variant in 367 Prefectures (Cities) — China, 2022

IntroductionMinimizing the importation and exportation risks of coronavirus disease 2019 (COVID-19) is a primary concern for sustaining the "Dynamic COVID-zero" strategy in China. Risk estimation is essential for cities to conduct before relaxing border control measures. MethodsInformed by...

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Veröffentlicht in:China CDC weekly 2022-10, Vol.4 (40), p.885-889
Hauptverfasser: Bai, Yuan, Xu, Mingda, Liu, Caifen, Shen, Mingwang, Wang, Lin, Tian, Linwei, Tan, Suoyi, Zhang, Lei, Holme, Petter, Lu, Xin, H. Y. Lau, Eric, J. Cowling, Benjamin, Du, Zhanwei
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Sprache:eng
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Zusammenfassung:IntroductionMinimizing the importation and exportation risks of coronavirus disease 2019 (COVID-19) is a primary concern for sustaining the "Dynamic COVID-zero" strategy in China. Risk estimation is essential for cities to conduct before relaxing border control measures. MethodsInformed by the daily number of passengers traveling between 367 prefectures (cities) in China, this study used a stochastic metapopulation model parameterized with COVID-19 epidemic characteristics to estimate the importation and exportation risks. ResultsUnder the transmission scenario (R0 =5.49), this study estimated the cumulative case incidence of Changchun City, Jilin Province as 3,233 (95% confidence interval: 1,480, 4,986) before a lockdown on March 14, 2022, which is close to the 3,168 cases reported in real life by March 16, 2022. In a total of 367 prefectures (cities), 127 (35%) had high exportation risks according to the simulation and could transmit the disease to 50% of all other regions within a period from 17 to 94 days. The average time until a new infection arrives in a location in 1 of the 367 prefectures (cities) ranged from 26 to 101 days. ConclusionsEstimating COVID-19 importation and exportation risks is necessary for preparedness, prevention, and control measures of COVID-19 - especially when new variants emerge.
ISSN:2096-7071
2096-7071
DOI:10.46234/ccdcw2022.184